Local climate action from the middle-out: the social potential of craft guilds to facilitate low-carbon installations in Germany by Wehden, S, Janda, KB, Jansen, J, Creutzig, F

“…Situated between policymaking and on-the-ground installation, guilds have unique agency and capacity qualities deriving from preferential access to the local implementers of low-carbon transitions and legal commissions with critical tasks including training, informing, and associating installers. However, we find that guilds suffer from resource constraints, membership declines, and a lack of deliberate activation. …”

Interferon-α promotes HLA-B-restricted presentation of conventional and alternative antigens in human pancreatic β-cells by Carré, A, Samassa, F, Zhou, Z, Perez-Hernandez, J, Lekka, C, Manganaro, A, Oshima, M, Liao, H, Parker, R, Nicastri, A, Brandao, B, Colli, ML, Eizirik, DL, Aluri, J, Patel, D, Göransson, M, Burgos Morales, O, Anderson, A, Landry, L, Kobaisi, F, Scharfmann, R, Marselli, L, Marchetti, P, You, S, Ternette, N

“…Here we characterize the HLA-I antigen presentation in resting and IFN-α-exposed β-cells and find that IFN-α increases HLA-I expression and expands peptide repertoire to those derived from alternative mRNA splicing, protein cis-splicing and post-translational modifications. …”

Experimentation in wicked situations: how activists construct pragmatic action frames by Savaget, P, Roulet, T, Ventresca, M

“…This pragmatic action frame prompts them to initiate pilot experiments that involve trial-and-error and collective learning, and that sometimes scaffold into cumulative small wins. Reflecting on our findings, we build a model of how pragmatic action frames fuel distributed possibilities to experiment in wicked situations. …”

The origin of cultivated mangosteen (Garcinia mangostana L. var. mangostana): critical assessments and an evolutionary-ecological perspective by Yao, T. L., Nazre, M., McKey, D., Jalonen, R., Duminil, J.

“…Its origin remains contentious, although recent findings suggest G. mangostana L. var. malaccensis (Hook. f.) …”
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Financial development, institutions, and economic growth nexus: A spatial econometrics analysis using geographical and institutional proximities by Ahmad, Mahyudin, Law, Siong Hook

“…However, the growth-effect of FD becomes negative beyond a certain threshold. We also find significant positive spatial lag growth in the model, indicating the presence of indirect spillover effects of FD and institutions on the growth of neighbouring countries in both geographical and institutional spheres. …”
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Impact Tip Speed Ratio in Performance Analysis for Horizontal Axis Wind Turbine (HAWT) with Optimal Twist and Tapered (OPT) Blade Shape by Mat Zin, Muhammad Al,Ain, Ishak, Izuan Amin, Mohammad Arafat, Mohammad Arafat, Samiran, Nor Afzanizam, Sahari, Norain

“…This simulation was performed using the Moving Ratio Frame (MRF) method. To find the optimum grid resolution, a Grid Independence Test (GIT) was conducted comparing the coefficient of power (Cp). …”
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Strengthening the relationship between Shariah Committee and Board of Directors of Islamic Banks by Hussain, Mohammad Azam, Mohd Noor, Fauziah, Md. Nor, Mohd Zakhiri, Azhar, Alias

“…This study is carried out to seek the opinion of SC in order to bridge the gap between the two bodies and to find out the best method to be offered to the Islamic bank in this regard. …”
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A New Smart Manufacturing Model for The Food Industry Based on the Industrial Revolution 4.0 (S/O 14183) by Ahmad, Hartini, Zakaria, Nazlina, Sabar, Rohafiz, Mohd..Nafi, Siti Noratisah, Mustafa Kamil, Bidayatul Akmal, Jamaludin, Norzalila, Shamsudin, Mohd. Salahudin

“…Methodology—The research used the mixed methods to find the answers to the research questions. Findings—Our quantitative analysis showed humanware and inforware that were mediated by technoware in smart manufacturing implementation. …”
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A Contemporary Teaching & Learning Approach to Enhance Active Learning in Media & Society Course Using the Newly Proposed O-P-A Model (S/O 14516) by Wei, Chuah Chin, Lynn-Sze, Joyce Cheah, Roslan, Teh Raihana Nazirab

“…In the similar vein, research on interactive learning has reported that instructors and students find them engaging, and the engagement is expected to increase learning outcomes. …”
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Facies analysis and depositional model of the middle-upper triassic Semantan formation, Central Pahang, Malaysia by Muhammad Azfar, Mohamed, Mazshurraiezal, Nasir, Mohd Syukri, Said, Meng, Choongchee, Mohamad Shaufi, Sokiman, Nur Asyraf, Md Akhir, Muhammad Aslam, Md Yusof, Muhammad Noor Amin, Zakariah, Mohd Nizam, Abdul Rashid, Salahuddin, Husein, Noorzamzarina, Sulaiman, Afiq Naim, Mohd

“…Seven (F1-7) facies have been identified which are; F1) poorly sorted conglomerate, F2) pebbly sandstone, F3) structureless-to-parallel laminated sandstone, F4) wavy-to-ripple fine-to-medium laminated sandstone, F5) slumped thin-interbeded sandstone and shale, F6) interbedded sandstone and shale, and F7) shale, represent a subordinate part of the Semantan Formation. …”
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Current and future challenges of hybrid electrochemical-mechanical machining process for micro- and nano-manufacturing by Ahmad Shahir, Jamaludin, Mohd Nizar, Muhd Razali, Nurul Nadia, Nor Hamran, Mohd Zairulnizam, Mohd Zawawi, Mohd Amran, Md Ali

“…Through empirical, analytical, and numerical optimization methods, HEMM’s performance can be fine-tuned to meet specific requirements. Its applications span various fields, from microfluidics and micro-optics to aerospace and biomedical devices, underscoring its transformative potential in contemporary manufacturing. …”
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Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
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Surface Compositions of Trojan Asteroids by Emery, Joshua P., Binzel, Richard P., Britt, Daniel T., Brown, Michael E., Howett, Carly J. A., Martin, Audrey C., Melita, Mario D., Souza-Feliciano, Ana Carolina, Wong, Ian

“…Mid-infrared emissivity spectra reveal the presence of fine-grained anhydrous silicates on the surfaces. …”
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Punching shear strength analysis of corroded reinforcement concrete slab by Fu, Yibin

“…Moreover, internal tensile stress during corrosion tend to result in existing fine line or micro cracks to enlarge, resulting in increasing permeability of concrete and form a chain of interconnected defects. …”
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涂涂写写 = Alchemy of color and brushwork by Ng, Woon Lam

“…As brushwork strengthens the form, the three attributes of colors (namely tone, hue and chroma) are fine-tuned to either work with or against the results of the brushwork. …”
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Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

“…With our proposed approach, fine-tuning, a weak baseline method for few-shot segmentation, gains significant performance improvement (e.g., 7.48% and 7.04% in 2-way-1-shot and 3-way-1-shot tasks of S3DIS, respectively) and outperforms current state-of-the-art methods in all the task settings of S3DIS and ScanNet benchmark datasets.…”
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Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks by Chakraborty, Debasrita, Goswami, Debayan, Ghosh, Susmita, Ghosh, Ashish, Chan, Jonathan H., Wang, Lipo

“…A study is conducted by building four models pre-trained on COVID-19 data from four different countries (United States of America, Brazil, Spain, and Bangladesh) and fine-tuned on India's data. Since the four countries chosen have experienced different types of infection curves, the pre-training provides a transfer learning to the models incorporating diverse situations into account. …”
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Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

“…Firstly, we construct hierarchical representations of skeletons to model coarse-to-fine body and motion features from the levels of body joints, components, and limbs. …”
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Full-spectrum out-of-distribution detection by Yang, Jingkang, Zhou, Kaiyang, Liu, Ziwei

“…These new benchmarks have a more fine-grained categorization of distributions (i.elet@tokeneonedot, training ID, covariate-shifted ID, near-OOD, and far-OOD) for the purpose of more comprehensively evaluating the pros and cons of algorithms. …”
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Unsupervised land-use change detection using multi-temporal POI embedding by Yao, Yao, Zhu, Qia, Guo, Zijin, Huang, Weiming, Zhang, Yatao, Yan, Xiaoqin, Dong, Anning, Jiang, Zhangwei, Liu, Hong, Guan, Qingfeng

“…In addition, our model can effectively identify areas with unchanged land use and land use changes in residential and industrial areas at a fine scale.…”
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